Data Scientist

The Opportunity:  

As an Enterprise Cybersecurity Data Scientist supporting our next‑generation artificial intelligence (AI)‑enabled Cyber Fusion Center (CFC), you will help architect and operationalize the analytic foundation enabling cyber defense at machine speed. Your work will directly support our enterprise initiative to embed AI across cybersecurity workflows, accelerating detection, improving efficiency, and increasing the autonomy of CFC operations as we mature from manual to automated and semi‑autonomous capabilities.  

In this role, you will apply data engineering and data science to build the foundation for AI-enabled capabilities to autonomously detect, investigate, and remediate cyber threats. You will collaborate closely with cyber operators and AI engineers to design data pipelines that power real‑time situational awareness, cybersecurity workflows, and autonomous decision support across the enterprise. Due to the nature of work performed within this facility, U.S. citizenship is required.

How You’ll Contribute:

As an Enterprise Cybersecurity Data Scientist on our team, you’ll:  

• Build and maintain scalable pipelines that integrate various security telemetry and external data sources to support real‑time CFC analytics.
• Develop analytic workflows utilizing Python and SQL to enable threat detection, anomaly detection, and automated triage.
• Use Databricks, clean coding practices, and version control to deliver reproducible, production‑ready solutions.
• Partner with AI engineers to shape requirements and prioritize datasets to enable CFC workflows.

Join us. The world can’t wait. 

You Have: 

• 3+ years of experience in data exploration, cleaning, analysis, or data mining, including with both structured and unstructured data  
• 3+ years of experience building data pipelines  
• 3+ years of experience working with SQL, Python, and Apache Spark  
• Experience managing version control, including Git, GitHub, GitLab, or Bitbucket, and CI/CD pipelines
• Experience building or operating ETL pipelines such as ingest, transform, load, including API integration and data manipulation across multiple file types such as JSON, XML, and geospatial formats
• Ability to display clean coding habits and focus on quality  
• Ability to work independently and collaboratively in a team environment  
• Ability to be self-motivated and pay attention to detail  
• Bachelor’s degree in Cybersecurity, Data Science, Engineering, or IT and 3+ years of experience working in cybersecurity, information technology, data engineering, or data science in a professional environment, or 5+ years of experience working in cybersecurity, information technology, data engineering, or data science in a professional environment in lieu of a degree 

Nice If You Have: 

• Experience with analytics and data science techniques, including natural language processing, machine learning algorithms, MLflow, and optimization  
• Knowledge of agentic workflow principles  
• Knowledge of the cybersecurity domain   
• Possession of strong analytical, problem-solving, and critical thinking skills  
• Possession of strong written and verbal communication skills, including presenting complex information in a clear and concise manner 

Compensation

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Identity Statement

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

Candidate AI Usage Policy

AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.

Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.

• Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.

• Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.

• Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.